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| Title |
Systems-Based Interactome Analysis for Hematopoiesis Effect of Angelicae sinensis Radix: Regulated Network of Cell Proliferation towards Hemopoiesis
|
|---|---|
| Published in |
Chinese Journal of Integrative Medicine, June 2018
|
| DOI | 10.1007/s11655-018-3003-5 |
| Pubmed ID | |
| Authors |
Guang Zheng, He Zhang, Yun Yang, Ying-li Sun, Yan-jing Zhang, Ju-ping Chen, Ting Hao, Cheng Lu, Hong-tao Guo, Ge Zhang, Dan-ping Fan, Xiao-juan He, Ai-ping Lu |
| Abstract |
To explore the molecular-level mechanism on the hematopoiesis effect of Angelicae Sinensis Radix (ASR) with systems-based interactome analysis. This systems-based interactome analysis was designed to enforce the workflow of "ASR (herb)→compound→target protein→internal protein actions→ending regulated protein for hematopoiesis". This workflow was deployed with restrictions on regulated proteins expresses in bone marrow and anemia disease and futher validated with experiments. The hematopoiesis mechanism of ASR might be accomplished through regulating pathways of cell proliferation towards hemopoiesis with cross-talking agents of spleen tyrosine kinase (SYK), Janus kinase 2 (JAK2), and interleukin-2-inducible T-cell kinase (ITK). The hematopoietic function of ASR was also validated by colony-forming assay performed on mice bone marrow cells. As a result, SYK, JAK2 and ITK were activated. This study provides a new approach to systematically study and predict the therapeutic mechanism for ASR based on interactome analysis towards biological process with experimental validations. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Lecturer | 2 | 50% |
| Student > Ph. D. Student | 1 | 25% |
| Unknown | 1 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 25% |
| Biochemistry, Genetics and Molecular Biology | 1 | 25% |
| Medicine and Dentistry | 1 | 25% |
| Unknown | 1 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 June 2018.
All research outputs
#18,640,437
of 23,092,602 outputs
Outputs from Chinese Journal of Integrative Medicine
#408
of 681 outputs
Outputs of similar age
#254,161
of 328,981 outputs
Outputs of similar age from Chinese Journal of Integrative Medicine
#12
of 21 outputs
Altmetric has tracked 23,092,602 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 681 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 21st percentile – i.e., 21% of its peers scored the same or lower than it.
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We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.